Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii Direct calls to spm_defauts are deprecated. Please use spm('Defaults',modality) or spm_get_defaults instead. loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28753056 bytes Loading image number: 72 Elapsed time is 9.633443 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6899522 Bit rate: 22.72 bits

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 10:40:01 - 16/01/2024 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 4 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 29.17% Expected 3.60 outside 95% ellipsoid, found 7 Potential outliers based on mahalanobis distance: Bonferroni corrected: 2 images Cases 29 44 Uncorrected: 7 images Cases 7 26 29 37 44 65 70 Retained 7 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 56.94% Expected 3.60 outside 95% ellipsoid, found 1 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 1 images Cases 58 Mahalanobis (cov and corr, q<0.05 corrected): 2 images Outlier_count Percentage _____________ __________ global_mean 3 4.1667 global_mean_to_variance 0 0 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 1 1.3889 mahal_cov_uncor 7 9.7222 mahal_cov_corrected 2 2.7778 mahal_corr_uncor 1 1.3889 mahal_corr_corrected 0 0 Overall_uncorrected 8 11.111 Overall_corrected 2 2.7778

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 10:40:38 - 16/01/2024 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

current length is 72

after removing 2 participants, size is now 70

"participants that are outliers:... sub-0074" "participants that are outliers:... sub-0093"

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28353708 bytes Loading image number: 71 Elapsed time is 9.417019 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6767782 Bit rate: 22.69 bits

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 5 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 21.13% Expected 3.55 outside 95% ellipsoid, found 9 Potential outliers based on mahalanobis distance: Bonferroni corrected: 5 images Cases 16 29 37 44 69 Uncorrected: 9 images Cases 12 16 29 34 37 43 44 48 69 Retained 10 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 50.70% Expected 3.55 outside 95% ellipsoid, found 3 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 3 images Cases 12 20 33 Mahalanobis (cov and corr, q<0.05 corrected): 5 images Outlier_count Percentage _____________ __________ global_mean 4 5.6338 global_mean_to_variance 2 2.8169 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 4 5.6338 mahal_cov_uncor 9 12.676 mahal_cov_corrected 5 7.0423 mahal_corr_uncor 3 4.2254 mahal_corr_corrected 0 0 Overall_uncorrected 11 15.493 Overall_corrected 5 7.0423

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 10:41:36 - 16/01/2024 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

Analysis: ---------------------------------- Design matrix warnings: ---------------------------------- No intercept detected, adding intercept to last column of design matrix Warning: Predictors are not centered -- intercept is not interpretable as stats for average subject Warning!!! Some observations have high leverage values relative to others, regression may be unstable. abs(z(leverage)) > 3 Warning!!! Too few variable names entered, less than size(X, 2). Names may be inaccurate. ______________________________________________________ Running regression: 99837 voxels. Design: 71 obs, 2 regressors, intercept is last Predicting exogenous variable(s) in dat.X using brain data as predictors, mass univariate Running in OLS Mode Model run in 0 minutes and 0.19 seconds Creating beta and t images, thresholding t images ______________________________________________________ Thresholding t images at 0.050000 fdr Image 1 FDR q < 0.050 threshold is 0.000620 Image 1 60 contig. clusters, sizes 1 to 328 Positive effect: 1235 voxels, min p-value: 0.00000055 Negative effect: 4 voxels, min p-value: 0.00024268 Image 2 FDR q < 0.050 threshold is 0.024139 Image 2 60 contig. clusters, sizes 1 to 328 Positive effect: 47979 voxels, min p-value: 0.00000000 Negative effect: 237 voxels, min p-value: 0.00001432

Image 1 FDR q < 0.050 threshold is 0.000620 Image 1 60 contig. clusters, sizes 1 to 328 Positive effect: 1235 voxels, min p-value: 0.00000055 Negative effect: 4 voxels, min p-value: 0.00024268 Image 2 FDR q < 0.050 threshold is 0.024139 Image 2 60 contig. clusters, sizes 1 to 328 Positive effect: 47979 voxels, min p-value: 0.00000000 Negative effect: 237 voxels, min p-value: 0.00001432

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 77 voxels displayed, 1162 not displayed on these slices axial montage: 327 voxels displayed, 912 not displayed on these slices sagittal montage: 2496 voxels displayed, 45720 not displayed on these slices axial montage: 11716 voxels displayed, 36500 not displayed on these slices

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28353708 bytes Loading image number: 71 Elapsed time is 9.208883 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6767782 Bit rate: 22.69 bits

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 5 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 21.13% Expected 3.55 outside 95% ellipsoid, found 9 Potential outliers based on mahalanobis distance: Bonferroni corrected: 5 images Cases 16 29 37 44 69 Uncorrected: 9 images Cases 12 16 29 34 37 43 44 48 69 Retained 10 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 50.70% Expected 3.55 outside 95% ellipsoid, found 3 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 3 images Cases 12 20 33 Mahalanobis (cov and corr, q<0.05 corrected): 5 images Outlier_count Percentage _____________ __________ global_mean 4 5.6338 global_mean_to_variance 2 2.8169 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 4 5.6338 mahal_cov_uncor 9 12.676 mahal_cov_corrected 5 7.0423 mahal_corr_uncor 3 4.2254 mahal_corr_corrected 0 0 Overall_uncorrected 11 15.493 Overall_corrected 5 7.0423

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 10:42:33 - 16/01/2024 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

Analysis: ---------------------------------- Design matrix warnings: ---------------------------------- No intercept detected, adding intercept to last column of design matrix Warning: Predictors are not centered -- intercept is not interpretable as stats for average subject Warning!!! Some observations have high leverage values relative to others, regression may be unstable. abs(z(leverage)) > 3 Warning!!! Too few variable names entered, less than size(X, 2). Names may be inaccurate. ______________________________________________________ Running regression: 99837 voxels. Design: 71 obs, 2 regressors, intercept is last Predicting exogenous variable(s) in dat.X using brain data as predictors, mass univariate Running in OLS Mode Model run in 0 minutes and 0.20 seconds Creating beta and t images, thresholding t images ______________________________________________________ Thresholding t images at 0.050000 fdr Image 1 FDR q < 0.050 threshold is 0.000000 Image 1 0 contig. clusters, sizes to Positive effect: 0 voxels, min p-value: 0.00000046 Negative effect: 0 voxels, min p-value: 0.00015773 Image 2 FDR q < 0.050 threshold is 0.026069 Image 2 0 contig. clusters, sizes to Positive effect: 51825 voxels, min p-value: 0.00000000 Negative effect: 254 voxels, min p-value: 0.00000800

Image 1 FDR q < 0.050 threshold is 0.000000 Image 1 0 contig. clusters, sizes to Positive effect: 0 voxels, min p-value: 0.00000046 Negative effect: 0 voxels, min p-value: 0.00015773 Image 2 FDR q < 0.050 threshold is 0.026069 Image 2 0 contig. clusters, sizes to Positive effect: 51825 voxels, min p-value: 0.00000000 Negative effect: 254 voxels, min p-value: 0.00000800

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 2616 voxels displayed, 49463 not displayed on these slices axial montage: 12827 voxels displayed, 39252 not displayed on these slices

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28353708 bytes Loading image number: 71 Elapsed time is 9.809056 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6767782 Bit rate: 22.69 bits

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 5 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 21.13% Expected 3.55 outside 95% ellipsoid, found 9 Potential outliers based on mahalanobis distance: Bonferroni corrected: 5 images Cases 16 29 37 44 69 Uncorrected: 9 images Cases 12 16 29 34 37 43 44 48 69 Retained 10 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 50.70% Expected 3.55 outside 95% ellipsoid, found 3 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 3 images Cases 12 20 33 Mahalanobis (cov and corr, q<0.05 corrected): 5 images Outlier_count Percentage _____________ __________ global_mean 4 5.6338 global_mean_to_variance 2 2.8169 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 4 5.6338 mahal_cov_uncor 9 12.676 mahal_cov_corrected 5 7.0423 mahal_corr_uncor 3 4.2254 mahal_corr_corrected 0 0 Overall_uncorrected 11 15.493 Overall_corrected 5 7.0423

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 10:43:26 - 16/01/2024 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

Analysis: ---------------------------------- Design matrix warnings: ---------------------------------- No intercept detected, adding intercept to last column of design matrix Warning: Predictors are not centered -- intercept is not interpretable as stats for average subject Warning!!! Some observations have high leverage values relative to others, regression may be unstable. abs(z(leverage)) > 3 Warning!!! Too few variable names entered, less than size(X, 2). Names may be inaccurate. ______________________________________________________ Running regression: 99837 voxels. Design: 71 obs, 2 regressors, intercept is last Predicting exogenous variable(s) in dat.X using brain data as predictors, mass univariate Running in OLS Mode Model run in 0 minutes and 0.21 seconds Creating beta and t images, thresholding t images ______________________________________________________ Thresholding t images at 0.050000 fdr Image 1 FDR q < 0.050 threshold is 0.000028 Image 1 15 contig. clusters, sizes 1 to 17 Positive effect: 58 voxels, min p-value: 0.00000001 Negative effect: 0 voxels, min p-value: 0.00005608 Image 2 FDR q < 0.050 threshold is 0.032715 Image 2 15 contig. clusters, sizes 1 to 17 Positive effect: 64967 voxels, min p-value: 0.00000000 Negative effect: 378 voxels, min p-value: 0.00000508

Image 1 FDR q < 0.050 threshold is 0.000028 Image 1 15 contig. clusters, sizes 1 to 17 Positive effect: 58 voxels, min p-value: 0.00000001 Negative effect: 0 voxels, min p-value: 0.00005608 Image 2 FDR q < 0.050 threshold is 0.032715 Image 2 15 contig. clusters, sizes 1 to 17 Positive effect: 64967 voxels, min p-value: 0.00000000 Negative effect: 378 voxels, min p-value: 0.00000508

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 0 voxels displayed, 58 not displayed on these slices axial montage: 14 voxels displayed, 44 not displayed on these slices sagittal montage: 3027 voxels displayed, 62318 not displayed on these slices axial montage: 16878 voxels displayed, 48467 not displayed on these slices

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28353708 bytes Loading image number: 71 Elapsed time is 8.784091 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6767782 Bit rate: 22.69 bits

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 5 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 21.13% Expected 3.55 outside 95% ellipsoid, found 9 Potential outliers based on mahalanobis distance: Bonferroni corrected: 5 images Cases 16 29 37 44 69 Uncorrected: 9 images Cases 12 16 29 34 37 43 44 48 69 Retained 10 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 50.70% Expected 3.55 outside 95% ellipsoid, found 3 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 3 images Cases 12 20 33 Mahalanobis (cov and corr, q<0.05 corrected): 5 images Outlier_count Percentage _____________ __________ global_mean 4 5.6338 global_mean_to_variance 2 2.8169 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 4 5.6338 mahal_cov_uncor 9 12.676 mahal_cov_corrected 5 7.0423 mahal_corr_uncor 3 4.2254 mahal_corr_corrected 0 0 Overall_uncorrected 11 15.493 Overall_corrected 5 7.0423

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 10:44:17 - 16/01/2024 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

Analysis: ---------------------------------- Design matrix warnings: ---------------------------------- No intercept detected, adding intercept to last column of design matrix Warning: Predictors are not centered -- intercept is not interpretable as stats for average subject Warning!!! Some observations have high leverage values relative to others, regression may be unstable. abs(z(leverage)) > 3 Warning!!! Too few variable names entered, less than size(X, 2). Names may be inaccurate. ______________________________________________________ Running regression: 99837 voxels. Design: 71 obs, 2 regressors, intercept is last Predicting exogenous variable(s) in dat.X using brain data as predictors, mass univariate Running in OLS Mode Model run in 0 minutes and 0.20 seconds Creating beta and t images, thresholding t images ______________________________________________________ Thresholding t images at 0.050000 fdr Image 1 FDR q < 0.050 threshold is 0.000028 Image 1 15 contig. clusters, sizes 1 to 17 Positive effect: 58 voxels, min p-value: 0.00000001 Negative effect: 0 voxels, min p-value: 0.00005608 Image 2 FDR q < 0.050 threshold is 0.032715 Image 2 15 contig. clusters, sizes 1 to 17 Positive effect: 64967 voxels, min p-value: 0.00000000 Negative effect: 378 voxels, min p-value: 0.00000508

Image 1 FDR q < 0.050 threshold is 0.000028 Image 1 15 contig. clusters, sizes 1 to 17 Positive effect: 58 voxels, min p-value: 0.00000001 Negative effect: 0 voxels, min p-value: 0.00005608 Image 2 FDR q < 0.050 threshold is 0.032715 Image 2 15 contig. clusters, sizes 1 to 17 Positive effect: 64967 voxels, min p-value: 0.00000000 Negative effect: 378 voxels, min p-value: 0.00000508

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 0 voxels displayed, 58 not displayed on these slices axial montage: 14 voxels displayed, 44 not displayed on these slices sagittal montage: 3027 voxels displayed, 62318 not displayed on these slices axial montage: 16878 voxels displayed, 48467 not displayed on these slices

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28353708 bytes Loading image number: 71 Elapsed time is 8.550838 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6767782 Bit rate: 22.69 bits

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 5 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 21.13% Expected 3.55 outside 95% ellipsoid, found 9 Potential outliers based on mahalanobis distance: Bonferroni corrected: 5 images Cases 16 29 37 44 69 Uncorrected: 9 images Cases 12 16 29 34 37 43 44 48 69 Retained 10 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 50.70% Expected 3.55 outside 95% ellipsoid, found 3 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 3 images Cases 12 20 33 Mahalanobis (cov and corr, q<0.05 corrected): 5 images Outlier_count Percentage _____________ __________ global_mean 4 5.6338 global_mean_to_variance 2 2.8169 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 4 5.6338 mahal_cov_uncor 9 12.676 mahal_cov_corrected 5 7.0423 mahal_corr_uncor 3 4.2254 mahal_corr_corrected 0 0 Overall_uncorrected 11 15.493 Overall_corrected 5 7.0423

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 10:45:05 - 16/01/2024 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

Analysis: ---------------------------------- Design matrix warnings: ---------------------------------- No intercept detected, adding intercept to last column of design matrix Warning: Predictors are not centered -- intercept is not interpretable as stats for average subject Warning!!! Some observations have high leverage values relative to others, regression may be unstable. abs(z(leverage)) > 3 Warning!!! Too few variable names entered, less than size(X, 2). Names may be inaccurate. ______________________________________________________ Running regression: 99837 voxels. Design: 71 obs, 2 regressors, intercept is last Predicting exogenous variable(s) in dat.X using brain data as predictors, mass univariate Running in OLS Mode Model run in 0 minutes and 0.23 seconds Creating beta and t images, thresholding t images ______________________________________________________ Thresholding t images at 0.050000 fdr Image 1 FDR q < 0.050 threshold is 0.000027 Image 1 14 contig. clusters, sizes 1 to 15 Positive effect: 56 voxels, min p-value: 0.00000003 Negative effect: 0 voxels, min p-value: 0.00009463 Image 2 FDR q < 0.050 threshold is 0.031342 Image 2 14 contig. clusters, sizes 1 to 15 Positive effect: 62212 voxels, min p-value: 0.00000000 Negative effect: 373 voxels, min p-value: 0.00000586

Image 1 FDR q < 0.050 threshold is 0.000027 Image 1 14 contig. clusters, sizes 1 to 15 Positive effect: 56 voxels, min p-value: 0.00000003 Negative effect: 0 voxels, min p-value: 0.00009463 Image 2 FDR q < 0.050 threshold is 0.031342 Image 2 14 contig. clusters, sizes 1 to 15 Positive effect: 62212 voxels, min p-value: 0.00000000 Negative effect: 373 voxels, min p-value: 0.00000586

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 0 voxels displayed, 56 not displayed on these slices axial montage: 16 voxels displayed, 40 not displayed on these slices sagittal montage: 2945 voxels displayed, 59640 not displayed on these slices axial montage: 16041 voxels displayed, 46544 not displayed on these slices

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28353708 bytes Loading image number: 71 Elapsed time is 7.928106 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6767782 Bit rate: 22.69 bits

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 5 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 21.13% Expected 3.55 outside 95% ellipsoid, found 9 Potential outliers based on mahalanobis distance: Bonferroni corrected: 5 images Cases 16 29 37 44 69 Uncorrected: 9 images Cases 12 16 29 34 37 43 44 48 69 Retained 10 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 50.70% Expected 3.55 outside 95% ellipsoid, found 3 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 3 images Cases 12 20 33 Mahalanobis (cov and corr, q<0.05 corrected): 5 images Outlier_count Percentage _____________ __________ global_mean 4 5.6338 global_mean_to_variance 2 2.8169 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 4 5.6338 mahal_cov_uncor 9 12.676 mahal_cov_corrected 5 7.0423 mahal_corr_uncor 3 4.2254 mahal_corr_corrected 0 0 Overall_uncorrected 11 15.493 Overall_corrected 5 7.0423

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 10:45:54 - 16/01/2024 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

Analysis: ---------------------------------- Design matrix warnings: ---------------------------------- No intercept detected, adding intercept to last column of design matrix Warning: Predictors are not centered -- intercept is not interpretable as stats for average subject Warning!!! Some observations have high leverage values relative to others, regression may be unstable. abs(z(leverage)) > 3 Warning!!! Too few variable names entered, less than size(X, 2). Names may be inaccurate. ______________________________________________________ Running regression: 99837 voxels. Design: 71 obs, 2 regressors, intercept is last Predicting exogenous variable(s) in dat.X using brain data as predictors, mass univariate Running in OLS Mode Model run in 0 minutes and 0.20 seconds Creating beta and t images, thresholding t images ______________________________________________________ Thresholding t images at 0.050000 fdr Image 1 FDR q < 0.050 threshold is 0.000000 Image 1 0 contig. clusters, sizes to Positive effect: 0 voxels, min p-value: 0.00000237 Negative effect: 0 voxels, min p-value: 0.00021297 Image 2 FDR q < 0.050 threshold is 0.001164 Image 2 0 contig. clusters, sizes to Positive effect: 2318 voxels, min p-value: 0.00000036 Negative effect: 5 voxels, min p-value: 0.00029440

Image 1 FDR q < 0.050 threshold is 0.000000 Image 1 0 contig. clusters, sizes to Positive effect: 0 voxels, min p-value: 0.00000237 Negative effect: 0 voxels, min p-value: 0.00021297 Image 2 FDR q < 0.050 threshold is 0.001164 Image 2 0 contig. clusters, sizes to Positive effect: 2318 voxels, min p-value: 0.00000036 Negative effect: 5 voxels, min p-value: 0.00029440

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 297 voxels displayed, 2026 not displayed on these slices axial montage: 292 voxels displayed, 2031 not displayed on these slices

NPS values for series 1 Unknown image names 17.3451 Unknown image names 35.5074

NPS values for series 1 Unknown image names 17.4539 Unknown image names 35.3987

NPS values for series 1 Unknown image names 6.8085 Unknown image names 49.7159

NPS values for series 1 Unknown image names 6.8085 Unknown image names 49.7159

NPS values for series 1 Unknown image names 7.5542 Unknown image names 46.9010

NPS values for series 1 Unknown image names 5.7982 Unknown image names 16.2841